4.5 Review

Chronic pulmonary aspergillosis

Journal

MYCOSES
Volume 57, Issue 5, Pages 257-270

Publisher

WILEY
DOI: 10.1111/myc.12152

Keywords

Chronic cavitary pulmonary aspergillosis; chronic necrotising pulmonary aspergillosis; chronic fibrosing pulmonary aspergillosis; complex aspergilloma; semi-invasive aspergillosis; subacute aspergillosis

Funding

  1. German Federal Ministry of Research and Education (BMBF) [01KN1106]
  2. 3M
  3. Actelion
  4. Astellas
  5. Basilea
  6. Bayer
  7. Celgene
  8. Cubist
  9. F2G
  10. Genzyme
  11. Gilead
  12. GSK
  13. Merck/MSD
  14. Miltenyi
  15. Optimer
  16. Pfizer
  17. Quintiles
  18. Viropharma

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Chronic pulmonary aspergillosis (CPA) is a group of consuming diseases usually presenting with prolonged and relapsing cough, dyspnoea and weight loss. Acute symptoms such as haemoptysis and bronchial or pulmonary haemorrhage may occasionally occur. CPA affects patients with underlying pulmonary conditions, for example, chronic obstructive pulmonary disease or mycobacteriosis or common immunosuppressive conditions such as diabetes. Precise epidemiology is unknown, and while prevalence is considered low the chronic and relapsing nature of the disease challenges the treating physician. Diagnostics largely rely on serologic Aspergillus precipitins and findings on thoracic computed tomography. The latter are manifold comprising cavity formation, pleural involvement and sometimes aspergilloma. Other markers for aspergillosis are less helpful, in part due to the non- or semi-invasive nature of these forms of Aspergillus infection. Various antifungals were shown to be effective in CPA treatment. Azoles are the most frequently applied antifungals in the outpatient setting, but are now compromised by findings of Aspergillus resistance. Long-term prognosis is not fully elucidated and may be driven by the underlying morbidities. Prospective registry-type studies may be suitable to systematically broaden our CPA knowledge base. This article gives an overview of the available literature and proposes a clinical working algorithm for CPA management.

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